TY - JOUR
T1 - Provenance in sensor data management
AU - Hensley, Zachary
AU - Sanyal, Jibonananda
AU - New, Joshua
PY - 2014/2
Y1 - 2014/2
N2 - In today's information-driven workplaces, data is constantly being moved around and undergoing transformation. The typical business-as-usual approach is to use email attachments, shared network locations, databases, and more recently, the cloud. More often than not, there are multiple versions of the data sitting in different locations, and users of this data are confounded by the lack of metadata describing its provenance-or in other words, its lineage. The ProvDMS project at the Oak Ridge National Laboratory (ORNL) described in this article aims to solve this issue in the context of sensor data.
AB - In today's information-driven workplaces, data is constantly being moved around and undergoing transformation. The typical business-as-usual approach is to use email attachments, shared network locations, databases, and more recently, the cloud. More often than not, there are multiple versions of the data sitting in different locations, and users of this data are confounded by the lack of metadata describing its provenance-or in other words, its lineage. The ProvDMS project at the Oak Ridge National Laboratory (ORNL) described in this article aims to solve this issue in the context of sensor data.
UR - https://www.scopus.com/pages/publications/84893349355
U2 - 10.1145/2556647.2556657
DO - 10.1145/2556647.2556657
M3 - Article
AN - SCOPUS:84893349355
SN - 0001-0782
VL - 57
SP - 55
EP - 62
JO - Communications of the ACM
JF - Communications of the ACM
IS - 2
ER -